×

Search anything:

DL1943 Deep Learning Cheatsheet

DSA Takeover Cheatsheet

Open-Source Internship opportunity by OpenGenus for programmers. Apply now.

The book "Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design" is the only book you need to master Deep Learning (DL) concepts.

Get your copy of DL1943 Cheatsheet

DL1943 CHEATSHEET BOOK

This book include:

  • Chapters covering all core concepts in DL research, engineering and optimization including:
    • Basic concepts like Perceptron, Gradient Descent
    • All basic terms like epoch, topK and basic ops like MaxPool
    • Core techniques like INT8 Quantization
    • Deep Learning System Design (with examples)
    • Numerical Analysis concepts like INT32 IEEE754, emulating FP64 using FP32.
    • Optimization techniques across:
    • Assembly instructions like AVX512 VNNI
    • Algorithmic optimizations for DL operations like MatMul
    • Graph level operations
    • and much more.
  • Each chapter is a CHEATSHEET. It includes to-the-point explanation and relevant code snippets.
  • Each concept can be covered quickly in at most 4 minutes.
  • Over 350 DL/AI concepts have been covered.

With this, you will be able to crack any Deep Learning Coding Interview easily.

After reading this book, you will:

  • Master Deep Learning/ Artificial Intelligence.
  • Clear interviews for full-time positions at high-tech companies. Good enough for:
    • Software Engineer 2/3, Machine Learning or Senior Software Engineer, AI/ML GenAI or ML Analyst at Google (L3/L4/L5)
    • Software Engineer, Machine Learning (E4/E5/E6) at Meta
    • Senior Deep Learning Systems Software Engineer - AI or AI Developer Technology Engineer at NVIDIA
    • Kernel Software Engineer - AI/ML GPU or Senior Machine Learning Software Engineer at AMD
    • Lead Engineer, Senior-C/C++, machine learning at Qualcomm
    • Machine Learning Engineer at Microsoft (Level 60 to 66)
    • And much more.

This book is for:

  • Students and developers preparing for Coding Interviews specifically for Machine Learning/Deep Learning/GenAI positions.
  • Experienced developers who wanted to revise their Deep Learning skills.
  • Students who need a coding sheet to revise DL/AI/ML topics quickly.

Get started with this book and change the equation of your career.

Book: Deep Learning: DL1943 Cheatsheet: DL/AI/ML Research, Engineering, Optimization & System Design
Authors (2): Calder Reed, Chen Hui Fang
Published: February 2025 (Edition 1)

Ue Kiao, PhD

Ue Kiao, PhD

Ue Kiao is a Technical Author and Software Developer with B. Sc in Computer Science at National Taiwan University and PhD in Algorithms at Tokyo Institute of Technology | Researcher at TaoBao

Read More

Improved & Reviewed by:


Dickson Tay
DL1943 Deep Learning Cheatsheet
Share this